자동 트렌드 탐지를 위한 속성의 정의 및 트렌드 순위 결정 방법

오흥선(Heung-Seon Oh),최윤정(Yoonjung Choi),신욱현(Wookhyun Shin),정윤재(Yoonjae Jeong),맹성현(Sung-Hyon Myaeng) 한국정보과학회 2009 정보과학회논문지 : 소프트웨어 및 응용 Vol.36 No.3

특허, 뉴스, 블로그와 같이 시간 정보가 있는 문서들로부터의 자동적인 트렌드 분석(trend analysis)은 토픽탐지 및 추적 기술(TDT: Topic Detection and Tracking)과 더불어 중요한 연구 분야로 대두되고 있다. 과거 연구들은 대부분 트렌드과 관련된 단어의 출현 빈도 정보를 이용하여 주어진 개념의 중요도를 측정하고 이 개념의 시간에 따른 트렌드 라인을 보여주는 것에 초점을 맞췄다. 신출 트렌드(emerging trend)를 탐지하기 위해서는 주어진 개념의 출현 빈도수 변화와 같은 간단한 방법이나 학습 데이타와 비교하여 차이를 탐지하여 제시하는 방법이 사용되었다. 그러나 여러 트렌드 중에서 특징적인 트렌드를 찾아서 사용자에게 제공하기 위해서는 트렌드 순위 결정 함수가 필요하다. 본 논문은 트렌드의 다양한 측면을 정량화하기 위하여 출현 빈도로 구성된 트렌드 곡선으로부터 네 가지 속성 (변동성, 지속성, 안정성, 누적량) 을 정의하고 이를 활용한 트렌드 순위 결정 방법을 제안한다. 일련의 실험을 통하여 각 속성의 유용성을 검증하고 속성들의 조합이 순위 결정에 어떤 영향을 미치는지 분석하였다. 실험결과로부터 네 가지 속성을 모두 조합할 경우 특징적인 트렌드 탐지에 더욱 기여하는 것을 알 수 있다. With advances in topic detection and tracking(TDT), automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line over time of a given concept by measuring the strength of trend-associated term frequency information. For detection of emerging trends, either a simple criterion such as frequency change was used, or an overall comparison was made against a training data. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function. To this end, we define four properties(change, persistency, stability and volume) of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends.

Google Trends의 키워드 빅데이터 분석을 활용한 글로벌 스타트업 트렌드 분석: 2017~2022

김재억,전병훈 아이씨티플랫폼학회 2023 JOURNAL OF PLATFORM TECHNOLOGY Vol.11 No.4

In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated. 글로벌시대의 환경속에서 '스타트업'의 트렌드와 인사이트를 파악하기 위해 빅데이터 분석 플랫폼인 Google Trends를 활용하여 최근 글로벌 스타트업 생태계를 심층 트렌드 분석을 실시하였다. 분석의 타당성을 위해 BIGKinds를 통해 핵심 키워드 '스타트업'과 '글로벌'의 상관관계를 검증하였다. 또한 '스타트업' 키워드나 용어의 검색 빈도를 파악하기 위해 Google Trends를 이용하여 추출한 데이터를 기반으로 네트워크 분석을 수행하였다. 연구결과, 키워드 사이에 강한 양적 선형관계를 보여주어 통계적으로 유의미한 상관관계를 나타냈다(상관계수: +0.8906). Google Trends를 사용한 글로벌 스타트업 트렌드를 탐색한 결과 ‘그림4’와 같이 각 국가들의 시기별 관심도가 증가하거나 감소하는 매우 비슷한 선형적 형태를 나타났다. 특히 스타트업 관심도가 2020년 중반부터 코로나-19 팬데믹으로 인해 35~76 범위내에서 낮게 나타났지만, 2022년 3월 이후 스타트업 관심도가 눈에 띄게 상승하는 트렌드를 보였다. 또한, 한국을 제외한 각 국가별 Startups 관심도는 아주 비슷한 추세이고, 관련 주제는 startup company, technology, investment, funding, 키워드 검색어는 best startup, tech, business, invest, health, fintech 등이 공통적으로 나타나 매우 높은 상관관계가 있음을 확인하였다.

국내 인테리어 트렌드가 벽지 표면재 디자인에 미치는 경향

이윤희(Lee, Yoonhee),이주형(Lee, Ju-hyeong) 한국색채학회 2021 한국색채학회 논문집 Vol.35 No.3

As interest in trends increases, product development based on trends of each company is actively taking place. As a result, the connection between research on trends and product development is becoming important, and the field of trend information presented by trend specialized institutions and companies is also expanding. Various trend information, which covers colors, materials, and design concepts based on consumer lifestyles, is being used as basic data to set the development direction of new products and release products for each company. This research is to study the interior trends presented by Korean companies and draw out the characteristics of wallpaper design released by Korean finishing materials companies to study the connection between interior trend information and new wallpaper design. The purpose of this research is to use it as data to prepare a design development system that will be released as a new product through design trend information. First of all, through theoretical consideration, the definition of trends and the current status of domestic interior trend information are identified and characteristics of design trends are derived. Second, three elements of color, pattern, and material are derived through a case study of wallpaper design of a domestic interior finishing material company. Colors are displayed according to Munsell, a standardized color display method. Third, research results on color, pattern, and material association are derived by linking the design characteristics presented as interior trends with examples of finished material designs. According to an analysis of the characteristics of interior trends and the association of wallpaper design by color, pattern and material, the association of each company is high enough to reach 70%. It is expected that it can be applied to the design of finishing materials in the future by utilizing the characteristics of interior design trends. It is hoped that the characteristics of colors, patterns, and materials presented in interior design trends can be subdivided to enhance the living value of consumers and provide strategic references for each company’s new product launch.

Global trend analysis in primary and secondary production of marine aerosol and aerosol optical depth during 2000–2015

Song, Sang-Keun,Shon, Zang-Ho,Choi, Yu-Na,Son, Young-Baek,Kang, Minsung,Han, Seung-Beom,Bae, Min-Suk Elsevier 2019 CHEMOSPHERE - Vol.224 No.-

<P><B>Abstract</B></P> <P>The global trends in sea spray aerosol (SSA) emissions, dimethyl sulfide (DMS) flux from sea to air, and aerosol optical depth (AOD) during 2000–2015 were analyzed using the satellite-based, ECMWF reanalysis, and model-predicted data. The SSA emissions were estimated using a widely used whitecap method with a sea surface temperature (SST) dependence. The sea-to-air DMS fluxes were estimated by a thin film model based on the DMS concentration in seawater and its gas transfer velocity. The yearly global mean anomaly in DMS fluxes showed a significant downward trend during the study period, whereas the SSA emissions showed an upward trend. In terms of regional trends, the increases in SSA emissions during 2000–2015 occurred over the tropical southeastern Pacific Ocean and Southern Ocean, whereas any downward trends in SSA emissions were localized. The DMS fluxes during the study period showed a clear downward trend over most oceans, except for the strong upward trend at low latitudes. In general, the AOD from the MODerate resolution Imaging SpectroRadiometer (MODIS) showed upward trends across the entire Southern Hemisphere (SH), whereas there were downward trends in most areas of the Northern Hemisphere (NH). Therefore, the upward trend of AOD in the SH were derived mainly from the SSA emission trend, due to smaller contribution of anthropogenic sources in the SH.</P> <P><B>Highlights</B></P> <P> <UL> <LI> SSA emissions showed an upward trend over the global ocean. </LI> <LI> DMS fluxes showed a significant downward trend. </LI> <LI> Upward trend of AOD in the SH were derived mainly from the SSA emission. </LI> </UL> </P>

Bias-reduced ℓ_1-trend filtering

Yu Donghyeon,Lim Johan,Son Won 한국통계학회 2023 Communications for statistical applications and me Vol.30 No.2

The ℓ_1-trend filtering method is one of the most widely used methods for extracting underlying trends from noisy observations. Contrary to the Hodrick-Prescott filtering, the ℓ_1-trend filtering gives piecewise linear trends. One of the advantages of the ℓ_1-trend filtering is that it can be used for identifying change points in piecewise linear trends. However, since the ℓ_1-trend filtering employs total variation as a penalty term, estimated piecewise linear trends tend to be biased. In this study, we demonstrate the biasedness of the ℓ_1-trend filtering in trend level estimation and propose a two-stage bias-reduction procedure. The newly suggested estimator is based on the estimated change points of the ℓ_1-trend filtering. Numerical examples illustrate that the proposed method yields less biased estimates for piecewise linear trends.

2000년대 이후 미디어를 통한 소비와 행복의 트렌드 분석 - 빅카인즈와 구글 트렌드 분석을 중심으로

박상준,원도연 한국문화경제학회 2020 문화경제연구 Vol.23 No.2

This study starts from the problem consciousness of the relationship between the two areas of happiness and society. And it aims to interpret the elements of happiness contained in the happiness pursuit phenomena pursued by modern people from a socio-cultural perspective. The category of the area to be analyzed in the study is the consumption area, and as a method to confirm the change in the consumption trend, data analysis on the happiness trend used in the article is made. The analysis tool used the article DB site, Big Kinds, and the temporal category is set from 2000 to 2019, the period after the IMF crisis. In addition, Google trend was used as a complementary tool to distinguish the changes in the times of happiness trend keywords derived from Big Kinds. Therefore, the direction of this study is to organize the flow of happiness trends by period by searching for happiness trends derived from Big Kinds in Google Trends, and to achieve an interpretation of the relationship with the times. The results of this study can be summarized as follows. First, Since the 2000s, the happiness consumption trend has been intensifying with individualism centered on Hedonian happiness theory as the economic environment changes. Second, Since 2000, the happiness trend is divided into 2015 as a period of time. ①From 2000 to 2014, the well-being trend toward dematerialism was followed by a healing trend. ②Since 2015, the happiness trend has diversified such as YOLO, Work life balance, Honbap(rice eaten alone), small but certain happiness(小確幸), and cost-effectiveness(價心比), It spreads to the center. Since the 2000s, the happiness trend has been arising from social alienation, and the hedonic form of pursuing happiness has been limited due to the deepening of individualism. And this phenomenon means that the perspective of modern people's happiness needs to be expanded more socially than individuals, and it is necessary to expand consumption contents based on the theory of eudemonic(social) happiness. 본 연구는 행복과 사회라는 두 영역의 관계에 관한 문제의식으로부터 출발한다. 그리고 현대인들이 추구하는 행복추구현상 속에 담긴 행복의 요소를 사회문화적 관점으로 해석하는데 목적을 둔다. 연구에서 분석하고자 하는 영역의 범주는 소비영역이며, 소비트렌드의 변화를 확인하기 위한 방법으로는 기사에서 활용된 행복트렌드에 대한 데이터분석을 이룬다. 분석도구는 기사DB사이트인 빅카인즈(Big kinds)를 활용했으며, 시기적 범주는 IMF사태 이후의 시기인 2000년부터 2019년으로 설정한다. 그리고 빅카인즈에서 도출된 행복트렌드 키워드의 시대적 변화를 구분하기 위해 구글트렌드(Google trend)를 보완적 도구로 활용하였다. 따라서 본 연구의 방향성은 빅카인즈에서 도출한 행복트렌드를 구글트렌드에 검색하여 시기별 행복트렌드의 흐름을 정리하고 시대상과의 관계에 대한 해석을 이루는 방향을 취한다. 본 연구의 결과는 다음과 같이 요약할 수 있다. 첫째. 2000년대 이후 행복 소비트렌드는 경제적 환경의 변화에 따라 헤도니아(쾌락적) 행복론 중심의 개인주의화로 심화되고 있다. 둘째. 2000년 이후 행복트렌드는 시기적으로 2015년을 기점으로 구분되는데 ①2000년~2014년까지는 탈물질주의화를 지향하는 웰빙(Well-being)을 시작으로 힐링(Healing) 트렌드로 이어졌다. ②2015년 이후 행복트렌드는 욜로(YOLO), 워라밸(Work life balance), 혼밥(혼자 먹는 밥), 소확행(小確幸), 가심비(價心比)와 같이 다양해지며 여가와 소비 형태를 중심으로 확산된다. 2000년대 이후 행복트렌드는 사회적 소외로부터 발생되어 개인주의화의 심화에 따른 헤도니아적(쾌락적) 행복추구형태의 한계를 띄고 있다. 그리고 이러한 현상은 현대인의 행복에 대한 관점을 개인보다 사회적으로 확장시켜야함을 의미하며, 유데모니아적(사회적) 행복론에 기반한 소비콘텐츠의 확장을 필요로 한다.

장신구트렌드 분석을 통한 디자인 개발시스템방안 연구

홍경희(Hong, kyung hee) 한국조형디자인학회 2006 조형디자인연구 Vol.9 No.1

Korea has solidified its position in various areas including high ‐tech industries such as semiconductor and IT but the domestic jewelry industry is losing competitiveness against imported brands before it grows because the design of its jewelry products is inferior in international sense. As for the current situation of the domestic jewelry industry, although it is high value‐added business, governmental support and investment by large enterprises are insignificant, and most jewelry businesses are small in size except a few companies. In this situation, it is hard to make planned investment in developing designs although the important of design is well recognized. As a consequence, identity for design has not been established and most designs are short‐sighted and temporary without creating high value added. A breakthrough of the jewelry industry for this problem is developing designs reflecting consumers’ sensibility and product trends like many outstanding companies in Korea and other countries develop products in response to future consumers’ rapidly changing desires through analyzing product trends. Trends in an industry cannot be read by a single factor. Likewise, trends in the jewelry industry are formed through organic interaction among issues such as politics, economy and society as well as cultural factors such as people’s mind, the pattern of life, the pattern of leisure activities, job preference, color preference and lifestyle. As for research on jewelry trends in Korea, available information in Korea are at best newspaper articles that quote materials from exhibitions in overseas. On the contrary in other countries, research institutes specialized in markets forecast future trends and suggest new trends, and then media related to jewelry analyze and introduce the trends, and companies develop products of new designs and display new trend jewelries that will lead the fashion in various fairs. Thus, the present study purposed to propose an operating system for developing design through analyzing trends in various areas. The system is designed to read jewelry trends from a generally acceptable view by combining materials from research institutes in different areas, collecting information on factors related to trend formation, visualizing factors with which trends can be forecasted, deriving keywords for jewelry trends, creating trend maps, and holding forums for the exchange of opinions with specialists in relevant areas. Next, the system will publish trend reports and trend books for jewelry businesses and designers to present future jewelry trends and provide a long view to jewelry trends. For the effective propagation of analyzed jewelry trends, it is considered desirable to have explanatory meetings for jewelry companies, designers and jewelry design students, give them the understanding of factors and mechanism of trend formation, and suggest the applicability, possibility, application cases and product images of various materials and forms. In addition, in order for jewelry trends to be practically utilized in design, we need to conceptualize presented images, adopt them as themes for design development, and open design contests. Designs selected in such contests can produced by cooperative companies and exhibited in fairs or fashion shows, and these activities will enhance the recognition of next generation ‐ jewelry trends and the objectivity of jewelry design. The jewelry design development system based on trend analysis can change the ideas of designers and related companies through the presentation and education of trends, raise the companies’ sales revenues by supplying high‐quality jewelry designs, create Korean‐unique brands reflecting local characteristics by reading cultural trends, and globalize the domestic jewelry industry by understanding the culture of countries that import our jewelry products.

The Effect of Prior Price Trends on Optimistic Forecasting

Young-Doo Kim 한국유통과학회 2018 The Journal of Industrial Distribution & Business( Vol.9 No.10

Purpose – The purpose of this study examines when the optimism impact on financial asset price forecasting and the boundary condition of optimism in the financial asset price forecasting. People generally tend to optimistically forecast their future. Optimism is a nature of human beings and optimistic forecasting observed in daily life. But is it always observed in financial asset price forecasting? In this study, two factors were focused on considering whether the optimism that people have applied to predicting future performance of financial investment products (e.g., mutual fund). First, this study examined whether the degree of optimism varied depending on the direction of the prior price trend. Second, this study examined whether the degree of optimism varied according to the forecast period by dividing the future forecasted by people into three time horizon based on forecast period. Research design, data, and methodology – 2 (prior price trend: rising-up trend vs falling-down trend) x 3 (forecast time horizon: short term vs medium term vs long term) experimental design was used. Prior price trend was used between subject and forecast time horizon was used within subject design. 169 undergraduate students participated in the experiment. χ2 analysis was used. In this study, prior price trend divided into two types: rising-up trend versus falling-down trend. Forecast time horizon divided into three types: short term (after one month), medium term (after one year), and long term (after five years). Results – Optimistic price forecasting and boundary condition was found. Participants who were exposed to falling-down trend did not make optimistic predictions in the short term, but over time they tended to be more optimistic about the future in the medium term and long term. However, participants who were exposed to rising-up trend were over-optimistic in the short term, but over time, less optimistic in the medium and long term. Optimistic price forecasting was found when participants forecasted in the long term. Exposure to prior price trends (rising-up trend vs falling-down trend) was a boundary condition of optimistic price forecasting. Conclusions – The results indicated that individuals were more likely to be impacted by prior price tends in the short term time horizon, while being optimistic in the long term time horizon.

트윗 데이터를 활용한 IT 트렌드 분석

이진백(Jin Baek Yi),이충권(Choong Kwon Lee),차경진(Kyung Jin CHA) 한국지능정보시스템학회 2015 지능정보연구 Vol.21 No.1

Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization’s basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named ‘tweets’ which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as ‘new types of security threat’, ‘green IT’, ‘next generation semiconductor’ since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year’s IT trends in real world, we compared Twitter’s trending topics with those in Nara Market, Korea’s online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions

2020-2030 문화트렌드를 반영한 디자인제품 선호도 연구 -밀레니얼세대를 중심으로-

엄경희,엄태경 한국디자인문화학회 2020 한국디자인문화학회지 Vol.26 No.2

As a new strategy according to the change in market environment, the understanding and the analysis of cultural trend is the process to discover new opportunity for the enterprise and to create the products and services, which can satisfy the consumer based on the overall human knowledge and information. In addition, since the millennials, who occupy 30% of the world consumption and are the center of the global corporate management activity, are skilled with smart devices and can perform multitasking, they acquire the information through sharing and communication of diverse lifestyles and have a freedom of wide range of choice. As the real global generations experienced the growth in a rich environment and having many experience, the millennials having active attitude on the consumption for themselves, are the future generations focused by entire world. For such millennials who are the center of cultural trend, it is deemed to be necessary to establish the marketing strategy by the cultural emotion of millennials. In addition, the research fit to the timestream for the design products matched to the consumer’s needs is deemed to be necessary through the 2020-2030 cultural trend, which is coming around the millennials. Therefore, this study was intended to provide the basic data for marketing strategy establishment of the differentiated and competitive design products to be developed in future and the opportunity to create new market by investigating and analysing the preference of the design products reflected with the 2020-2030 cultural trend according to the demographic analysis of the millennials. As the research methods, the analysis of preceding researches, literature review and internet data search were performed for the theoretical contemplation such as definition of cultural trend, millennials and the change of consumption, the case of design product reflected with 2020-2030 cultural trend, etc. The results was drawn by conducting online questionnaire survey utilizing basic statistical analysis and Likert 5-point scale. For the scope of research, the survey was conducted from the millennials (19~39 years old) according to the demographic characteristics by selecting 4 cultural trends of ‘individualism’, ‘virtual reality and augmented reality’, ‘sustainability’ and ‘automation’, which are launched as design products out of 6 2020-2030 cultural trends. In the results of examining the design product preference reflected with 2020-2030 cultural trend and the elements preferred when purchasing the design products according to the characteristics of cultural trend, following results were drawn. First, it was observed that the most preferred product reflected with the 2020-2030 cultural trend with the overall pattern of general, age group, marital status, occupation, and the residential area according to the demographic characteristics of the millennials was the design product reflected with the trend of ‘individualism’ and the design product of ‘sustainability’ also have higher preference followed by ‘automation’ and ‘virtual reality and augmented reality’ in order. Second, it was observed that as the preferential element when purchasing the design product according to the characteristics of 2020-2030 cultural trend of the millennials, for ‘individualism’, my own personality can be expressed and the exceptionalness felt by using and purchasing the product is considered important, for ‘virtuality and augmented reality’ the pleasure and happiness through experience were considered important. It was investigated that for ‘sustainability’, the environmentally positive impact is the most important element and the socially and economically positive impact was investigated as the important element and for ‘automation’, the guarantee the safety is considered the most important. Therefore, the design products reflected with 2020-2030 cultural trend for the millennials are de... 시장 환경 변화에 따른 기업의 새로운 전략으로 문화트렌드의 이해와 분석은 인간의 총체적 지식정보를바탕으로 기업의 새로운 기회를 발굴하고, 소비자에게만족을 줄 수 있는 제품 또는 서비스의 제공을 창출하기 위해 필요한 과정이다. 또한, 세계 소비 30%를차지하며 세계적 기업 경영활동의 중심이 되는 밀레니얼 세대는 스마트기기에 능숙하여 멀티테스킹이 가능하기 때문에 다양한 삶을 빠르고 쉽게 공유하고 소통을 통한 정보 습득과 폭넓은 선택의 자유를 가진다. 자기자신을 위한 소비에 적극적인 태도의 밀레니얼세대는 풍요로운 성장과 많은 경험을 겪은 진정한 글로벌 세대로 전세계에서 주목하는 미래 세대이다. 이러한 문화트렌드가 중심이 되는 밀레니얼 세대의 문화적 감성에 의한 마케팅 전략의 수립이 필요하다고사료된다. 또한 밀레니얼 세대를 중심으로 다가오는2020-2030 문화트렌드 분석을 통해 소비자 니즈에 맞는 디자인제품을 위한 시대 흐름에 적합한 연구가 필요하다고 생각된다. 따라서 본 연구는 밀레니얼 세대인구통계학적 분석에 따른 2020-2030 문화트렌드를반영한 디자인 제품의 선호도를 조사 분석하여 앞으로 개발될 차별화되고 경쟁력 있는 디자인제품 마케팅 전략 수립의 기초자료와 새로운 시장 창출 기회의도움을 주고자 하였다. 연구방법은 문화트렌드에 대한 정의, 밀레니얼 세대와 소비 변화, 2020-2030 문화트렌드를 반영한 디자인제품 사례 등의 이론적 고찰을 위하여 선행연구 분석과 문헌 조사, 인터넷 자료조사를 실시하였다. 기초통계분석과 리커트(Likert) 5점 척도를 활용하여 온라인설문조사를 실시하여 결과를 도출하였다. 연구범위로는 2020-2030 문화트렌드 6개 중 디자인 제품으로 출시 된 문화트렌드 4가지 ‘개인주의, ’가상현실과 증강현실’, ‘지속가능성’, ‘자동화’를 선정하여 밀레니얼 세대(19~39세)를 대상으로 인구통계학적 특성에 의한조사를 실시하였다. 따라서 2020-2030 문화트렌드를 반영한 디자인제품선호도와 문화트렌드 특성에 의한 디자인제품 구매시 선호하는 요소를 알아본 결과 다음과 같은 결과를도출시켰다. 첫째, 밀레니얼 세대의 인구통계학적 특성에 따라 성별, 연령대, 결혼여부, 직업, 학력, 거주지역의 전반적인 양상으로 2020-2030 문화트렌드를 반영한 디자인제품 중 가장 선호하는 제품은 ‘개인주의’ 트렌드를 반영한 디자인제품이며, 지속가능성’ 디자인제품 또한 높은 선호도를 갖는 것을 알 수 있었다. 다음으로 ‘자동화’, ‘가상현실과 증강현실’ 순으로 높은선호도를 보였다. 둘째, 밀레니얼 세대의 2020-2030 문화트렌드 특성에 의한 디자인제품 구매 시 선호 요소로 ‘개인주의’는 나만의 개성을 표현할 수 있어야하고, 제품을 사용하고 구매함으로써 느껴지는 특별함을 중요하게 여기며, ‘가상현실과 증강현실’은 체험을통한 즐거움과 행복감을 중요하게 여기는 것을 알 수있었다. ‘지속가능성’은 환경적으로 긍정적인 영향이가장 중요 요소이며 사회적, 경제적인 긍정적인 영향도 중요하게 여기는 요소로 조사되었으며, ‘자동화’는안전의 보장을 가장 중요하게 여기는 것을 알 수 있었다. 그러므로 향후 밀레니얼 세대를 중심으로 한 2020- 2030 문화트렌드를 반영한 디자인제품은 ‘개인주의’ 트렌드를 반영하여 개성을 표현할 수 있는 개인 맞춤형 제품, 소비자에게 특별함을 부여하는 디자인으로개발 ...